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Compared to the overall number of models, DES models are evaluating a much higher number of treatment strategies as more often treatment patterns or pathways are modeled.
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The developed estimation models are evaluated using different evaluation metrics.
Two magnetic core models are evaluated.
Additional results from studies of mediator levels in animal models are evaluated in this context.
The limitations of the extant methods of representation of aerosol activation in cloud models are evaluated.
The accuracy of two models are evaluated by Monte Carlo simulation.
Operator mental models are evaluated by a questionnaire-based method.
Models are evaluated to predict %ILI in 2014.
When estimation methods are used, models are evaluated based on standard statistical goodness of fit criteria.
GS models are evaluated in terms of classification performance.
Typically, brightness models are evaluated on the basis of their ability to explain various visual illusions.
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